My team is drowning in slow releases and I need to figure out how to measure developer velocity accurately without pissing off the engineers today.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
My team is drowning in slow releases and I need to figure out how to measure developer velocity accurately without pissing off the engineers today.
2 real searches · 1 real-search pass
DORA software delivery performance metrics deployment frequency lead time for changes change failure rate failed deployment recovery time 2025 officialGoogle ↗
OBSERVED
SPACE framework developer productivity metrics research paper dimensions satisfaction performance activity communication efficiencyGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
DORA software delivery performance metrics deployment frequency lead time for changes change failure rate failed deployment recovery time 2025 official Google ↗
SPACE framework developer productivity metrics research paper dimensions satisfaction performance activity communication efficiency Google ↗
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
DORA software delivery performance metrics deployment frequency lead time for changes change failure rate failed deployment recovery time 2025 official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
SPACE framework developer productivity metrics research paper dimensions satisfaction performance activity communication efficiency OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |